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Python 3.x for Computer Vision

Video Description

Unleash the power of computer vision with Python to carry out image processing and computer vision techniques

About This Video

  • Learn how to build a full-fledged image processing application using free tools and libraries
  • Perform basic to advanced image and video stream processing with OpenCV’s Python APIs
  • Understand and optimize various features of OpenCV with the help of easy-to-grasp examples

In Detail

This video course is a practical guide for developers who want to get started with building computer vision applications using Python 3. The video is divided into six sections:

  • The Fundamentals of Image Processing
  • Applied Computer Vision
  • Object detection
  • Making Applications Smarter
  • Extending your Capabilities using OpenCV
  • Getting Hands on

Throughout this video course, three image processing libraries: Pillow, Scikit-Image, and OpenCV are used to implement different computer vision algorithms.

The course will help you build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we look at in the course are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.